{"id":"W7123349787","doi":"10.1109/icm66518.2025.11321330","title":"A Comparative Study of Convolutional Layer Depths and Activation Functions in the Detection and Classification of Diabetic Retinopathy","year":2025,"lang":"","type":"article","venue":"","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Diabetic retinopathy; Retinopathy; Convolutional neural network; Pattern recognition (psychology); Retinal; Binary classification; Field (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001539135,0.001042945,0.0004401298,0.0009974469,0.0002206693,0.0007427463,0.000705085,0.0009569424,0.001040515],"category_scores_gemma":[0.004908428,0.0002617842,0.0005336367,0.0005138867,0.0002781442,0.001040492,0.0004784142,0.0008522962,0.0004046625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000863419,"about_ca_system_score_gemma":0.0006684624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244481,"about_ca_topic_score_gemma":0.01241566,"domain_scores_codex":[0.9994817,0.0001125965,0.00003954781,0.0001266815,0.0001396671,0.00009983689],"domain_scores_gemma":[0.9984336,0.0008232286,0.0001205009,0.0001803758,0.0003421228,0.0001001846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003861316,0.0008463443,0.04332132,0.0004982006,0.0006138878,0.0003320546,0.0001755416,0.3161003,0.02776944,0.00186841,0.009505243,0.5951079],"study_design_scores_gemma":[0.00006444604,0.00115594,0.02528615,0.0001708327,0.0002549826,0.0003150471,0.0001572742,0.9387833,0.02952648,0.001379515,0.002846926,0.00005913393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354437,0.007585906,0.04517451,0.0007089708,0.0002143266,0.00008571498,0.001251549,0.002207713,0.007327565],"genre_scores_gemma":[0.9682058,0.001576674,0.02578491,0.0001426816,0.00003550743,0.0000260281,0.001618427,0.0001178782,0.002491989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01244481,"threshold_uncertainty_score":0.02474475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066873878260426,"score_gpt":0.3241660659735535,"score_spread":0.2834973271909492,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}